General methods for analysing repeated measures
- 1 January 1988
- journal article
- review article
- Published by Wiley in Statistics in Medicine
- Vol. 7 (1-2), 29-45
- https://doi.org/10.1002/sim.4780070108
Abstract
We present an overview of issues and methods for analysing repeated measures of a continuous random variable. We discuss modelling the mean vector and covariance structure, statistical efficiency, regression diagnostics, and discrepancies between longitudinal and cross‐sectional methods. We illustrate key points with examples and discuss areas requiring further development.Keywords
This publication has 21 references indexed in Scilit:
- Empirical Bayes Confidence Intervals Based on Bootstrap SamplesJournal of the American Statistical Association, 1987
- Influence Analysis of Generalized Least Squares EstimatorsJournal of the American Statistical Association, 1987
- Maximum Likelihood Computations with Repeated Measures: Application of the EM AlgorithmJournal of the American Statistical Association, 1987
- Longitudinal data analysis using generalized linear modelsBiometrika, 1986
- Weighted Normal PlotsJournal of the American Statistical Association, 1985
- Approximations for Standard Errors of Estimators of Fixed and Random Effect in Mixed Linear ModelsJournal of the American Statistical Association, 1984
- Empirical Bayes Estimation of Rates in Longitudinal StudiesJournal of the American Statistical Association, 1983
- Parametric Empirical Bayes Inference: Theory and ApplicationsJournal of the American Statistical Association, 1983
- Imputation of Missing Values When the Probability of Response Depends on the Variable Being ImputedJournal of the American Statistical Association, 1982
- Estimation in Parallel Randomized ExperimentsJournal of Educational Statistics, 1981